all_drawings = list.files(path='sketches_full_dataset', pattern = ".png$", recursive = TRUE)
all_drawings = as.tibble(all_drawings)
all_drawings$sketchName = all_drawings$value
## We have slightly less than number of images in folder because it lost connection before finishing writing out the final csv file; only analyzing drawings in csv for now (number of actual all drawings changes every day since still getting data!)
descriptives_v4 = read_csv(file = 'mongodb-output/MuseumStation_AllDescriptives_7200_images_cdm_run_v4.csv', col_names = TRUE)%>%
mutate(fileNameShort = str_split_fixed(filename,"/",11)[,11])
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
## X1 = col_integer(),
## session_id = col_character(),
## trial_num = col_integer(),
## category = col_character(),
## age = col_character(),
## submit_time = col_double(),
## submit_date = col_datetime(format = ""),
## num_strokes = col_integer(),
## draw_duration_old = col_double(),
## draw_duration_new = col_double(),
## trial_duration = col_double(),
## mean_intensity = col_double(),
## bounding_box = col_character(),
## filename = col_character()
## )
## Warning: package 'bindrcpp' was built under R version 3.4.4
descriptives = read_csv(file = 'mongodb-output/MuseumStation_AllDescriptives_20780_images_final_cdm_run_v3.csv', col_names = TRUE) %>%
mutate(fileNameShort = str_split_fixed(filename,"/",11)[,11]) %>%
mutate(draw_duration_new = as.numeric(draw_duration_new)) %>%
full_join(descriptives_v4)
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
## X1 = col_integer(),
## session_id = col_character(),
## trial_num = col_integer(),
## category = col_character(),
## age = col_character(),
## submit_time = col_double(),
## submit_date = col_datetime(format = ""),
## num_strokes = col_integer(),
## draw_duration_old = col_double(),
## draw_duration_new = col_character(),
## trial_duration = col_double(),
## mean_intensity = col_double(),
## bounding_box = col_character(),
## filename = col_character()
## )
## Joining, by = c("X1", "session_id", "trial_num", "category", "age", "submit_time", "submit_date", "num_strokes", "draw_duration_old", "draw_duration_new", "trial_duration", "mean_intensity", "bounding_box", "filename", "fileNameShort")
#
practice_categories = c('shape','this circle','square','this square','something you love')
extra_prompt = c('something you love')
#
raw_drawing_count <- descriptives_v4 %>%
full_join(descriptives) %>%
filter(!category %in% practice_categories) %>%
filter(!category %in% extra_prompt)
## Joining, by = c("X1", "session_id", "trial_num", "category", "age", "submit_time", "submit_date", "num_strokes", "draw_duration_old", "draw_duration_new", "trial_duration", "mean_intensity", "bounding_box", "filename", "fileNameShort")
drawing_count_total = length(unique(raw_drawing_count$filename))
## loading drawings to exclude based on manual exclusions
drawings_to_exclude = read_csv(file = 'images_to_exclude/images_to_exclude.txt', col_names = FALSE)
## Parsed with column specification:
## cols(
## X1 = col_character()
## )
drawings_to_exclude = as.tibble(drawings_to_exclude)
drawings_to_exclude$fileNameShort = drawings_to_exclude$X1
# filter out manually excluded drawings
descriptives_filtered_v1 <- descriptives %>%
filter(!fileNameShort %in% drawings_to_exclude$X1)
# only consider image paths with descriptives and that weren't filetered
filtered_drawing_paths <- all_drawings %>%
mutate(fileNameShort = str_split_fixed(sketchName,'/',2)[,2]) %>%
filter(fileNameShort %in% descriptives$fileNameShort) %>%
mutate(fullPath = paste("sketches_full_dataset/",sketchName,sep="")) %>%
select(-value,-sketchName)
descriptives_filtered_v2 <- descriptives_filtered_v1 %>%
left_join(filtered_drawing_paths)
## Joining, by = "fileNameShort"
strokes_thres = quantile(descriptives_filtered_v2$num_strokes,.95)
light_thres = quantile(descriptives_filtered_v2$mean_intensity,.05)
dark_thres = quantile(descriptives_filtered_v2$mean_intensity,.95)
dark_drawings <- descriptives_filtered_v2 %>%
filter(mean_intensity > dark_thres)
almost_blank <- descriptives_filtered_v2 %>%
filter(mean_intensity < light_thres)
dark_sketches_dir = 'sketches_subsets_inspection/maybe_exclude_dark_sketches'
light_sketches_dir = 'sketches_subsets_inspection/maybe_exclude_light_sketches'
# dir.create(dark_sketches_dir)
# dir.create(light_sketches_dir)
#
# file.copy(dark_drawings$fullPath, dark_sketches_dir)
# file.copy(almost_blank$fullPath, light_sketches_dir)
## loading drawings to exclude based on manual exclusions
drawings_to_exclude_2 = read_csv(file = 'images_to_exclude/images_to_exclude_scribbles_dark_light.txt', col_names = FALSE)
## Parsed with column specification:
## cols(
## X1 = col_character()
## )
drawings_to_exclude_2 = as.tibble(drawings_to_exclude_2)
## copy all drawings into one directory
descriptives_filtered_v3 <- descriptives_filtered_v2 %>%
filter(!fileNameShort %in% drawings_to_exclude_2$X1)
# filtered_sketches_dir = 'filtered_sketches'
# dir.create(filtered_sketches_dir)
# file.copy(descriptives_full_filtered$fullPath, filtered_sketches_dir)
## loading drawings to exclude based on manual exclusions based on rest of dataset
drawings_to_exclude_3 = read_csv(file = 'images_to_exclude/images_to_exclude_manual.txt', col_names = FALSE)
## Parsed with column specification:
## cols(
## X1 = col_character()
## )
drawings_to_exclude_3 = as.tibble(drawings_to_exclude_3)
## Clean up -- exclude practice categories, recode age as numeric, make filenames w/o spaces
practice_categories = c('shape','this circle','square','this square','something you love')
extra_prompt = c('something you love')
# clean up dataset and filter out manual exclusions
descriptives_filtered_v4 <- descriptives_filtered_v3 %>%
filter(!fileNameShort %in% drawings_to_exclude_3$X1) %>%
mutate(age_numeric = as.numeric(str_split_fixed(age,'age',2)[,2])) %>%
mutate(fileNameShortNew = str_split_fixed(fileNameShort," ",2)[,2]) %>%
mutate(version = as.numeric(is.na(draw_duration_new)))
# for object drawing trials
descriptives_full_filtered <- descriptives_filtered_v4 %>%
filter(!category %in% practice_categories) %>%
filter(!category %in% extra_prompt)
## now only get practice trials for people who made it into the full dataset
obj_session_ids = unique(descriptives_full_filtered$session_id)
practice_shapes_filtered <- descriptives_filtered_v4 %>%
filter(category %in% practice_categories) %>%
filter(!category %in% extra_prompt) %>%
filter(session_id %in% obj_session_ids)
# save output csvs
dir.create('filtered_dataset/output-csvs')
## Warning in dir.create("filtered_dataset/output-csvs"): 'filtered_dataset/
## output-csvs' already exists
write.csv(practice_shapes_filtered, "filtered_dataset/output-csvs/practice_shapes_filtered_nov19.csv")
write.csv(descriptives_full_filtered, "filtered_dataset/output-csvs/cdm_descriptives_nov19_filtered.csv")
## Render out new copy of practice shapes
pracImagesDir = 'practice_shapes_filtered'
dir.create(pracImagesDir)
## Warning in dir.create(pracImagesDir): 'practice_shapes_filtered' already
## exists
file.copy(practice_shapes_filtered$fullPath, to = file.path(pracImagesDir,practice_shapes_filtered$fileNameShort))
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# ## Render out new copy of filtered dataset / rename shapes
# dir.create('dataset_nov19/sketches_filtered_copy')
# dir.create('dataset_nov19/sketches_filtered_renamed')
# file.copy(from = descriptives_full_filtered$fullPath, to = 'dataset_nov19/sketches_filtered_copy')
# file.rename(from = file.path('dataset_nov19/sketches_filtered_copy',descriptives_full_filtered$fileNameShort),to=file.path('dataset_nov19/sketches_filtered_renamed',descriptives_full_filtered$fileNameShortNew))
category_by_age <- descriptives_full_filtered %>%
group_by(category,age_numeric) %>%
summarize(countImages = n())
ggplot(category_by_age,aes(age_numeric,countImages,color=age_numeric)) +
geom_point() +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
facet_wrap(~category)
all_exclusions <- drawings_to_exclude %>%
full_join(drawings_to_exclude_2) %>%
full_join(drawings_to_exclude_3) %>%
rename(sketchName = X1) %>%
mutate(category = str_split_fixed(sketchName,'_',4)[,1]) %>%
mutate(age = str_split_fixed(sketchName,'_',4)[,3]) %>%
mutate(age_numeric = str_split_fixed(age,'age',2)[,2])
## Joining, by = "X1"
## Joining, by = "X1"
exclusion_summary <- all_exclusions %>%
group_by(age_numeric, category) %>%
summarise(numExclusions = n())
ggplot(exclusion_summary,aes(age_numeric,numExclusions,color=age_numeric)) +
geom_point() +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
facet_wrap(~category)
drawing_count_exclusions = length(all_exclusions$sketchName)
exclusion_percent= drawing_count_exclusions/ drawing_count_total
We had 15594 excluding practice trials, and we excluded 3711 drawings, or 0.2379761% of drawings.
ggplot(descriptives_full_filtered,aes(age_numeric,mean_intensity,color=category)) +
geom_boxplot(aes(group=age_numeric)) +
facet_wrap(~category)
ggplot(descriptives_full_filtered,aes(age_numeric,mean_intensity,color=category)) +
geom_point(alpha=.2)
ggplot(descriptives_full_filtered,aes(age_numeric,draw_duration_old,color=category)) +
geom_boxplot(aes(group=age_numeric)) +
facet_wrap(~category)
ggplot(descriptives_full_filtered,aes(age_numeric,num_strokes,color=age_numeric)) +
geom_boxplot(aes(group=age_numeric)) +
facet_wrap(~category)
# now limit the y-axis so we can see without outliers
ggplot(descriptives_full_filtered,aes(age_numeric,num_strokes,color=age_numeric)) +
geom_boxplot(aes(group=age_numeric)) +
facet_wrap(~category) +
ylim(c(0, 100))
## Warning: Removed 37 rows containing non-finite values (stat_boxplot).
# look at the crazy drawings
high_strokes <- descriptives_full_filtered %>%
filter(num_strokes > 500)
dir.create('sketches_subsets_inspection/images_many_strokes')
## Warning in dir.create("sketches_subsets_inspection/images_many_strokes"):
## 'sketches_subsets_inspection/images_many_strokes' already exists
file.copy(high_strokes$fullPath, 'sketches_subsets_inspection/images_many_strokes')
## [1] FALSE FALSE
# make a plot to look at aveages by age /category
high_strokes_sum <- descriptives_full_filtered %>%
group_by(version,category,age_numeric) %>%
summarise(mean_strokes = mean(num_strokes))
ggplot(high_strokes_sum,aes(age_numeric,mean_strokes,color=version)) +
geom_point()
# output some summary stats
high_strokes_by_version <- high_strokes_sum %>%
group_by(version) %>%
summarise(mean_strokes_v = mean(mean_strokes), sd_strokes_v = sd(mean_strokes))
## all drawings
effort_sum <- descriptives_full_filtered %>%
group_by(category,age_numeric) %>%
summarise(mean_strokes = mean(num_strokes), mean_intensity = mean(mean_intensity), draw_duration = mean(draw_duration_old))
## only cdm_run_v4, which has new timing info
effort_sum_v4 <- descriptives_full_filtered %>%
filter(version==0) %>%
group_by(category,age_numeric) %>%
summarise(mean_strokes = mean(num_strokes), mean_intensity = mean(mean_intensity), draw_duration = mean(draw_duration_new))
# weird <- descriptives_full_filtered %>% filter(draw_duration_old >30)
# dir.create('sketches_subsets_inspection/long_duration')
# file.copy(weird$fullPath, 'sketches_subsets_inspection/long_duration')
#
# long_trials <- descriptives_full_filtered %>%
# filter(version==0) %>%
# filter(trial_duration>31)
#
# dir.create('sketches_subsets_inspection/long_trial_duration')
# file.copy(long_trials$fullPath, 'sketches_subsets_inspection/long_trial_duration')
ggplot(effort_sum,aes(age_numeric,mean_intensity,color=category)) +
geom_point() +
facet_wrap(~category) +
geom_smooth(alpha=.1)
## `geom_smooth()` using method = 'loess'
ggplot(effort_sum,aes(age_numeric,mean_strokes,color=category)) +
geom_point() +
facet_wrap(~category) +
geom_smooth(alpha=.1)
## `geom_smooth()` using method = 'loess'
ggplot(effort_sum,aes(age_numeric,draw_duration,color=category)) +
geom_point() +
facet_wrap(~category) +
geom_smooth(alpha=.1)
## `geom_smooth()` using method = 'loess'